Upload nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_1.txt with huggingface_hub

nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_1.txt

@@ -0,0 +1,53 @@
+```CODE: 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("nota-ai/Solar-Open-100B-NotaMoEQuant-Int4", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("nota-ai/Solar-Open-100B-NotaMoEQuant-Int4", trust_remote_code=True)
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+inputs = tokenizer.apply_chat_template(
+	messages,
+	add_generation_prompt=True,
+	tokenize=True,
+	return_dict=True,
+	return_tensors="pt",
+).to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=40)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_15SGWbN.py", line 27, in <module>
+    model = AutoModelForCausalLM.from_pretrained("nota-ai/Solar-Open-100B-NotaMoEQuant-Int4", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/60c3c1669989868b/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 365, in from_pretrained
+    return model_class.from_pretrained(
+           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/60c3c1669989868b/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4015, in from_pretrained
+    hf_quantizer, config, device_map = get_hf_quantizer(
+                                       ~~~~~~~~~~~~~~~~^
+        config, quantization_config, device_map, weights_only, user_agent
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/60c3c1669989868b/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 326, in get_hf_quantizer
+    hf_quantizer.validate_environment(
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        device_map=device_map,
+        ^^^^^^^^^^^^^^^^^^^^^^
+        weights_only=weights_only,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/60c3c1669989868b/lib/python3.13/site-packages/transformers/quantizers/quantizer_auto_round.py", line 43, in validate_environment
+    raise ImportError(
+        "Loading an AutoRound quantized model requires auto-round library (`pip install 'auto-round>=0.5'`)"
+    )
+ImportError: Loading an AutoRound quantized model requires auto-round library (`pip install 'auto-round>=0.5'`)